Hostname: page-component-cd9895bd7-gbm5v Total loading time: 0 Render date: 2024-12-22T07:00:42.934Z Has data issue: false hasContentIssue false

Repairing the scaffolding: women authors in Paleobiology

Published online by Cambridge University Press:  07 December 2023

Nan Crystal Arens*
Affiliation:
Department of Geoscience, Hobart & William Smith Colleges, Geneva, New York 14456, U.S.A.
Levi Holguin
Affiliation:
Department of Anthropology, Hobart & William Smith Colleges, Geneva, New York 14456, U.S.A.
Natalie Sandoval
Affiliation:
Department of Sociology, Hobart & William Smith Colleges, Geneva, New York 14456, U.S.A.
*
Corresponding author: Nan Crystal Arens; Email: [email protected]

Abstract

Women are underrepresented in paleontology. Despite more women students, representation at senior levels remains low. To advance professionally, scientists must disseminate their research through peer-reviewed publications. We examine gendered authorship patterns in Paleobiology to ask whether the publishing infrastructure supports the Paleontological Society's gender-equity goals. We reviewed all papers published in Paleobiology from its inception in 1975 through 2021. For each paper, we recorded each author, the author's position in the author list, and the total number of authors on each paper. We coded gender based on a combination of personal communication and pronouns used in publicly available information. We compared author demographics with anonymized membership data from the Paleontological Society. Over the journal's run, the number of authors per paper increased due to cultural shifts toward collaborative work and acknowledging student contributions with coauthorship. These trends contribute to proportionally more women authors, beginning in the early 2000s. Despite these increases, women remain chronically underrepresented. In 2018, 2019, and 2021, the proportion of women authors in Paleobiology paralleled membership in the Paleontological Society. However, in 2020, Paleobiology published fewer women authors than expected based on society membership. This echoes declines in women's scholarly productivity in the first year of the COVID-19 pandemic observed across many disciplines. We offer four recommendations: (1) practice double-anonymous peer review; (2) recruit editors from diverse backgrounds who invite reviewers with diverse backgrounds; (3) democratize manuscript review by selecting reviewers from a disaggregated reviewer database; and (4) gather and analyze demographic data for both submissions and publications.

Type
On The Record
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of The Paleontological Society

Non-technical Summary

Despite decades of nearly equal numbers of men and women as students, women remain underrepresented in the ranks of professional paleontology. Scholarly publishing is a gateway to the senior ranks, and journals are the gatekeepers. We asked whether the publishing infrastructure of the Paleontological Society supports gender equity. We reviewed all papers published by the society's journal, Paleobiology, from its inception in 1975 through 2021. Over the journal's run, the number of authors per paper increased due to cultural shifts toward collaborative research and acknowledging technical and support contributions with coauthorship. These shifts opened the door to more women, particularly beginning in the early 2000s, when the first women editors held the keys to the society's journals. Despite these gains, women remain chronically underrepresented. Change that supports one underrepresented group generally supports all. Therefore, we offer four recommendations to open the publishing gate to all intersectional identities: (1) review manuscripts without author identifiers; (2) recruit more editors from diverse backgrounds; (3) democratize the review process by including more and different voices; and (4) gather data on author demographics at the time of submission and analyze and report on these data regularly to see who is and who is not passing through the publishing gateway.

Introduction

Women are underrepresented in science, technology, engineering, mathematics, and medicine (STEMM) broadly (Casad et al. Reference Casad, Franks, Garasky, Kittleman, Roesler, Hall and Petzel2021), and specifically in the geological sciences (Holmes et al. Reference Holmes, O'Connell, Frey and Ongley2008) and paleontology (Stigall Reference Stigall2013; Plotnick et al. Reference Plotnick, Stigall and Stefanescu2014; Diversity and Inclusion Committee of the Paleontological Society 2021). Seeking equity and diversity in the scientific community is more than just a moral imperative. Diversity invigorates science. Women bring different perspectives to scientific questions (Buckley et al. Reference Buckley, Sciligo, Adair, Case and Monks2014). Diverse leaders produce innovative thinking and better mentoring for everyone in an organization (Dezsö and Ross Reference Dezsö and Ross2012), but commonly receive less credit for those contributions (Hofstra et al. Reference Hofstra, Kulkarni, Munoz-Najar Galvez, He, Jurafsky and McFarland2020). Diverse senior mentors also improve educational outcomes for all students (Snyder and Dillow Reference Snyder and Dillow2012).

In the geosciences (Holmes et al. Reference Holmes, O'Connell, Frey and Ongley2008) and paleontology (Stigall Reference Stigall2013), women students proportionally outnumber women full professors and senior professionals and have done so by significant margins for decades. Optimists point to the many pathways—a “braided river”—individuals can take into STEMM careers (Batchelor et al. Reference Batchelor, Ali, Gardner-Vandy, Gold, MacKinnon and M. Asher2021) and suggest that the abundance of women students and assistant professors coupled with more time and intentional hiring will soon yield binary gender parity (Ranganathan et al. Reference Ranganathan, Lalk, Freese, Freilich, Wilcots, Duffy and Shivamoggi2021). Pessimists note that the persistence of this demographic pattern over decades reveals a “leaky pipeline” (Alper Reference Alper1993), in which individual career and personal choices drive continued underrepresentation across many diversity metrics (Holmes et al. Reference Holmes, O'Connell, Frey and Ongley2008).

Women leave STEMM for varied and individual reasons (e.g., Ceci et al. Reference Ceci, Ginther, Kahn and Williams2014; Cech and Blair-Loy Reference Cech and Blair-Loy2019; Hunter Reference Hunter, Seymour and Hunter2019; Almukhambetova et al. Reference Almukhambetova, Torrano and Nam2023). The focus on individual choices in the pipeline metaphor and individual paths in the braided river obscures systemic and structural constraints on advancement (Ranganathan et al. Reference Ranganathan, Lalk, Freese, Freilich, Wilcots, Duffy and Shivamoggi2021). Calhoun and colleagues (2022) refer to the structural and institutional milieu that impedes women's advancement as a “broken scaffold.” In this metaphor, the career scaffold should provide candidates the support of a sturdy structure as they climb through the ranks. The broken scaffold fails to provide this necessary support for people with marginalized identities (Calhoun et al. Reference Calhoun, Jayaram and Madorsky2022). In our analysis, we consider a key component of the academic scaffold: peer-reviewed publication.

Active engagement in the scientific community—participation in professional conferences and dissemination of research through peer-reviewed journal articles—is essential for early-career professionals to advance from student to full professor. An analysis of meeting programs from 10 North American Paleontological Conventions (NAPC) spanning more than four decades showed that women constituted 2% of all abstract authors in 1969, compared with 58% in 2014 (Plotnick et al. Reference Plotnick, Stigall and Stefanescu2014). This seems like progress. However, Plotnick and colleagues (2014) noted that increased participation by women came mostly through larger collaborations that acknowledged the contributions of students through coauthorship. Moreover, conference presentations alone will not earn an assistant professor tenure or a tenured professor a final promotion. An authorship analysis of Palaeontology, the flagship journal of the Palaeontological Association in the United Kingdom, found that in 2019, fewer than 20% of all authors were reported to be women, and this number had changed little in 20 years (Giles et al. Reference Giles, Warnock, Dunne, Saupe, Soul and Lloyd2020). Our study examines the history of authorship in Paleobiology, a journal of the Paleontological Society in the United States with an impact factor similar to that of the UK's Palaeontology. We ask whether trends toward binary gender parity noted in 2014 NAPC conference presentations continued into peer-reviewed publication in the early 2020s.

Methods

We reviewed the entire run of Paleobiology from 1975 to 2021 (the last full year for which all issues had been published at the time we gathered data). For each article, we compiled all authors’ family names and initials, along with the year, volume, and issue in which the article was published. Unique names have been replaced with a random four-digit code in data provided in the Supplementary Material. We counted the number of authors listed for each paper and the position of each individual (single author, first, last, or among middle authors) in the author list. To our knowledge, Paleobiology does not designate co-first authors, so author order was taken at face value as listed in the published journal. We scored gender based on personal communication with the author or an author's personal pronouns used in public venues such as blogs, websites, email signatures, and social media. Although time- and labor-intensive, this approach reduces error inherent in automated gender recognition algorithms (Lockhart et al. Reference Lockhart, King and Munsch2023) and mitigates erasure of nonbinary and transgender people embedded in automated analysis of names (Keyes Reference Keyes2018). We could not verify gender for small proportion of authors (<0.1%); these were dropped. Our data did not include individuals who publicly identify using pronouns other than she/her and he/him. Therefore, our analysis uses the man/woman gender binary, while acknowledging that gender is a complex and fluid reality in the lives and careers of individuals (e.g., Black Reference Black2019; Marin-Spiotta et al. Reference Marin-Spiotta, Diaz-Vallejo, Barnes, Mattheis, Schneider, Berhe, Hastings, Williams and Magley2023; Rasmussen et al. Reference Rasmussen, Chen, Colquhoun, Frentz, Hiatt, Kosciesza, Olsen, O'Neill, Zamloot and Strauss2023). We did not attempt to code other axes of intersectional diversity (e.g., race, ethnicity, citizenship, romantic or sexual orientation, age, or ability/disability status). Without self-reporting, accurately coding these identity markers would be impossible (see Lockhart et al. Reference Lockhart, King and Munsch2023).

To compare Paleobiology author representation to the field as a whole, we obtained anonymized member demographics from the Paleontological Society for 2018–2021. Paleontological Society data were recorded monthly. We chose to analyze data from October of each year, because this is the month in which the Geological Society of America holds its annual meeting and active members of the field are most likely to have renewed memberships in advance of this meeting. Over the 4 years for which we have data, the Paleontological Society has expanded its concept of gender in demographic data self-reported by members. For example, in 2018, members could indicate gender nonconforming and transgender in addition to the traditional man/woman binary (response options for each year provided in Supplementary Table 1). In 2022, members could select from nine gender categories in addition to man and woman. To simplify visualization and analysis for small-number categories, maintain anonymity in small-number groups, and allow consistent plotting across the years in which categories changed, we grouped all gender identities other than man and woman into the category gender diverse and reported that group separately from members who preferred not to answer (PNTA) the gender question. We acknowledge that this approach homogenizes important diversity in gender experience and expression. In choosing to group, we balanced this harm against the imperative to avoid revealing an identity of individuals in small-number categories who expected anonymity in the reporting of aggregate demographics. Transgender status/history was not explicitly considered in this analysis; transgender and cisgender men were included without distinction within the category of men, and transgender and cisgender women were included without distinction within the category of women (Supplementary Table 1).

Visualization and statistical analysis were performed in R (v. 4.2.3; R Core Team 2023) using tidyverse (v. 2.0.0; Wickham et al. Reference Wickham, Averick, Bryan, Chang, McGowan, Francois and Grolemund2019). Data and analytical code are provided in the Supplementary Material. To assess over- and underrepresentation of women and men authors in Paleobiology, we calculated standardized residuals from a linear model and plotted these, by gender, against publication year. In a given issue of the journal, if the number of male and female authors was equal, standardized residuals would fall on the zero line. Overrepresented gender categories plot above the zero line (positive standardized residual) and underrepresented plot below (negative standardized residual). We compared Paleobiology author gender representation with gender demographics in the Paleontological Society membership using a χ2 test for independence on a two-way contingency table compiling author and member counts for men and women. All analyses had 1 degree of freedom and were interpreted at α = 0.05.

Results

Our dataset included 3601 records and 2078 unique authors, as a number of authors have published multiple papers in the journal. The total number of authors in a volume of Paleobiology has increased over time (Fig. 1A). The journal generally publishes about 10 papers per issue and 4 or 5 issues per year. Papers trended toward larger collaborative groups through time. For example, in 1975, there were 13 papers authored by a single individual and 3 papers included 3 or more authors. In contrast, in 2021, there were 5 papers with single authors and 14 had 3 or more, with 5, 6, or 7 authors not uncommon. Figure 1A also shows an increase in the number of women authors beginning around 2000. When we normalized data to account for the increase in the number of authors (Fig. 1B), this trend remained. However, despite the increase in absolute numbers, women authors became increasingly underrepresented over time (Fig. 1C), because more men than women were added to collaborative groups.

Figure 1. Gender (men and women only) of authors in each volume of Paleobiology 1975–2021. (A) Tallies of authors by binary gender overlaid on Paleontological Society membership for 2018–2021, the only years for which complete demographic data were available. Paleontological Society membership included a variety of gender descriptors (see Supplementary Table 1). We grouped transgender members with their authentic gender (e.g., transwomen with women), and all nonbinary markers into the category gender diverse. PNTA denotes those members who preferred not to disclose their gender. (B) Author gender normalized as a proportion. (C) Standardized residuals of a linear model describing the relationship between the number of authors, grouped by gender (M = men, W = women), in each volume across time. Negative residuals represent values below that expected for equal gender representation; positive residuals mean overrepresentation. Least-squares lines of best fit added to each gender group.

The order of authorship can be decided in many ways. Some collaborative groups order authors alphabetically. In other cases, the first author is primarily responsible for the project's intellectual development and for manuscript preparation, while the last author may be the lab head, grant principal investigator, or most senior collaborator. Irrespective of how they came to their position in the author list, the first author is commonly listed in in-text citations and thus has greatest reputational visibility when the work is cited. Citation is important academic capital (Pereira and Díaz Reference Pereira and Díaz2016; Pereira Reference Pereira2017; Fortunato et al. Reference Fortunato, Bergstrom, Börner, Evans, Helbing, Milojević and Petersen2018; Roper Reference Roper2022), so we look specifically at first-author representation. For first authors (Fig. 2A), the best-fit lines for both men and women are positive, showing overall increase in the number of unique authors through time. However, men are more common as first authors than are women, who remain consistently underrepresented (Fig. 2B). We note, however, that the 2021 volume achieved binary gender parity in first-author representation (Fig. 2B).

Figure 2. (A) Tally of first authors by gender for papers with more than one author. Lines of best fit represent least-squares linear models for each gender. (B) Standardized residuals of a linear model describing the relationship between the first authors in each volume across time. Negative residuals represent values below that expected for equal gender representation; positive residuals mean overrepresentation. Least-squares lines of best fit added to each gender. (C) Tally of single authors on paper in Paleobiology (1975–2021). Lines of best fit represent least-squares linear models for each gender. (D) Standardized residuals of a linear model describing the pattern of first authors in each volume across time. Least-squares line of best fit added to each gender. Negative residuals constitute underrepresentation; positive residuals mean overrepresentation. For all graphs, M = men; W = women.

We also considered single authors (Fig. 2C). The number of men as single authors declined steadily throughout the Paleobiology run, while solo women authors remained uncommon (Fig. 2C). By 2021, men and women reached parity in single-author representation (Fig. 2D), primarily because single-author papers had become rare.

To assess whether women's underrepresentation as Paleobiology authors reflects the demographics of the field, we compared authorship gender with the demographics of the Paleontological Society membership during those years for which we have data (2018–2021). In the χ2 test for independence of categorical variables, the null hypothesis states that the frequencies of the two categorical variables are independent (uncorrelated). Therefore, a small p-value for this test leads us to reject the null hypothesis in favor of the conclusion that the gender frequency of Paleontological Society members and Paleobiology authors are correlated. For 2018 (p = 0.02, χ2 = 5.76, N = 680), 2019 (p < 0.001, χ2 = 16.78, N = 820), and 2021 (p = 0.02, χ2 = 5.76, N = 680), representation of women authors in Paleobiology paralleled their proportional membership in the Paleontological Society (Fig. 1A). However, in 2020 (p = 0.21, χ2 = 1.58, N = 1123), women were more underrepresented as authors than would be expected based on Paleontological Society membership. As first authors, women were consistently significantly underrepresented in most years (2018 p = 0.53, χ2 = 0.40, N = 593; 2019 p = 0.24, χ2 = 1.39, N = 722; 2020 p = 0.91, χ2 = 0.014, N = 1036), and marginally underrepresented in 2021 (p = 0.05, χ2 = 3.93, N = 863) in comparison to the Paleontological Society membership.

Discussion

For peer-reviewed papers in Paleobiology, our data show the same trends toward larger collaborations—and the inclusion of more women authors—reported in the analysis of NAPC abstracts (Plotnick et al. Reference Plotnick, Stigall and Stefanescu2014). The trend toward collaborative research and the acknowledgment of student and technician contributions with coauthorship has been recognized across scientific disciplines, with both trends increasing the representation of women, particularly when the tenured team-leader is a woman (Bozeman and Corley Reference Bozeman and Corley2004). Even with these advances, women remain chronically underrepresented as authors in the Paleobiology data, but this largely parallels underrepresentation of women in paleontology as documented by Paleontological Society membership. Underrepresentation is as much a problem within the field of paleontology as it is within the journal Paleobiology. Therefore, increasing the participation of women as authors is only one piece of the solution. In addition, women remain chronically underrepresented in the first-author position, suggesting that they are not moving from collaborator (providing or collecting data and earning a middle position in the author line-up) to project leader (first author) or lab head (last author), as had been hoped a decade ago (Plotnick et al. Reference Plotnick, Stigall and Stefanescu2014).

Our data, which included the first 2 years of the COVID-19 pandemic, showed that women were more underrepresented as Paleobiology authors in 2020 than would be expected based on Paleontological Society membership. This echoes a well-documented pandemic publishing penalty for women in STEMM (King and Frederickson Reference King and Frederickson2021; Krukowski et al. Reference Krukowski, Jagsi and Cardel2021; Squazzoni et al. Reference Squazzoni, Bravo, Grimaldo, García-Costa, Farjam and Mehmani2021). Journals in the Elsevier portfolio, for example, reported a surge in submissions in the early months of the pandemic (Squazzoni et al. Reference Squazzoni, Bravo, Grimaldo, García-Costa, Farjam and Mehmani2021), possibly because teaching and service responsibilities changed for STEM faculty outside of medicine. However, women submitted proportionally fewer manuscripts than did men during this period (Squazzoni et al. Reference Squazzoni, Bravo, Grimaldo, García-Costa, Farjam and Mehmani2021). In contrast, women took up more reviewing responsibilities (Squazzoni et al. Reference Squazzoni, Bravo, Grimaldo, García-Costa, Farjam and Mehmani2021). Women with very young or school-age children showed even lower submission rates (Krukowski et al. Reference Krukowski, Jagsi and Cardel2021), with women attributing this decline to increased childcare and at-home education responsibilities during school and daycare closures (Caldarulo et al. Reference Caldarulo, Olsen, Frandell, Islam, Johnson, Feeney, Michalegko and Welch2022). In the Paleobiology dataset, we observed that binary gender parity recovered in 2021, as also noted by Ryan and colleagues (Reference Ryan, Tuke, Hutchinson and Spencer2023) in a survey of journals indexed by PubMed. We urge caution in interpreting this result. Paleobiology has a significant lag between submission and publication. For the 2020 volume, only the third and fourth issue might include manuscripts submitted after mid-March 2020, when many schools, colleges, and universities closed their doors and shifted instructional mode.

There is some reason for hope. More women are participating as authors (Fig. 1A, B) in Paleobiology now than ever before. More women also appear as first authors (Fig. 2A); women equaled men as first authors for the first time in 2021 (Fig. 2B). However, as noted by one reviewer of this manuscript, equality cannot be claimed when virtually all of the growth in representation came from White cisgender women. This analysis remains silent on many other important aspects of a paleontologist's identity, such as race, ethnicity, citizenship, romantic or sexual orientation, and ability/disability status to name just some. In a voluntary survey of the Paleontological Society membership conducted in October 2022, out of 1300 members, 173 responded to a detailed demographic questionnaire. Eighty-five percent did not report identifying with a racial or ethnic group that is historically or currently underrepresented in STEMM. Sixty-four percent reported being heterosexual/heteroromantic (straight) and 74% identified as non-disabled. This parallels the geosciences (Bernard and Cooperdock Reference Bernard and Cooperdock2018) and STEMM in general (Ginther et al. Reference Ginther, Kahn and Schaffer2016; Clancy et al. Reference Clancy, Lee, Rodgers and Richey2017) in which there has been little progress on intersectional diversity over generations. While some might argue that a paleontologist's identity has little to do with their science, several decades of research proves otherwise (Barjak and Robinson Reference Barjak and Robinson2008; Phillips et al. Reference Phillips, Medin, Lee, Bang, Bishop and Lee2014; Swartz et al. Reference Swartz, Palermo, Masur and Aberg2019; Standring and Lidskog Reference Standring and Lidskog2021). In his recent book, political scientist Matt Grossmann argues that social science improved when practitioners became more diverse and more self-reflective about their positionality and the questions that arose from their identity-based perspectives (Grossmann Reference Grossmann2021). Natural science might take note.

The Paleontological Society leadership is working to keep diversity issues before the membership (Diversity and Inclusion Committee of the Paleontological Society 2021), including the ratification of a nondiscrimination code of conduct for members in 2019. However, rejecting discrimination is far from inclusion. Action is needed to repair many rungs of the scaffolding that will allow diverse paleontologists to climb to leadership in the field. We recommend that the Paleontological Society take four simple steps to further strengthen the scaffold at its journals.

Recommendations

Data from a variety of disciplines in STEMM suggest that women—and members of other marginalized groups—face discrimination in the peer-review process (Wennerås and Wold Reference Wennerås and Wold1997; Witteman et al. Reference Witteman, Hendricks, Straus and Tannenbaum2019; Hengel Reference Hengel2022). While the degree to which this occurs in paleontology awaits research, we recommend four practices shown to increase the representation of diverse authors.

Double-Anonymous Manuscript Review

In a standard single-anonymous review, the author's identity is known to the reviewer while the reviewer remains unidentified to the author. This allows reviewers to provide critical assessment of a manuscript without fear of retribution. However, if authors are known to the reviewers, biases—conscious or unconscious—based on reputation, gender, race, or other identity markers may creep in (Witteman et al. Reference Witteman, Hendricks, Straus and Tannenbaum2019). In 2001, Behavioral Ecology switched from single- to double-anonymous review. In a double-anonymous review, only editors—not reviewers—know the author's identity. Budden and colleagues (2008) examined the representation of women authors before and after the change at Behavioral Ecology and in five other ecology journals of similar impact factor and circulation that continued to practice single-anonymous review. They noted that the representation of women increased for all journals (except Journal of Biogeography) during the period of study, but increased more than expected in Behavioral Ecology after the change in review process (Budden et al. Reference Budden, Tregenza, Aarssen, Koricheva, Leimu and Lortie2008). Behavioral Ecology is published by the International Society for Behavioral Ecology (ISBE). Much like the Paleontological Society, ISBE is small (about 800 members), and many members likely know one another and are familiar with other members’ research areas. Given that double-anonymous review has been demonstrated to address many kinds of bias among reviewers (Tomkins et al. Reference Tomkins, Zhang and Heavlin2017)—even within small fields—it should become standard practice for journals wishing to create an inclusive publication process.

Diversity among Editors

Peer-reviewed publication is central to professional advancement, and editors are the gatekeepers of peer-reviewed publishing. An analysis of the editorial board of Functional Ecology 2004–2014 showed that the majority were men, but women editors increased during the study window (Fox et al. Reference Fox, Burns and Meyer2016). With the increase in women on editorial boards, the number of women reviewers also increased, while outcomes of peer-review—process rigor—remained the same (Fox et al. Reference Fox, Burns and Meyer2016). Fox and colleagues (2019) expanded their review to six journals in ecology and evolution and found the same pattern across all journals they surveyed. Buckley and colleagues (2014) reported the same pattern in the New Zealand Journal of Ecology. They also noted that editors who were men tended to invite more men as reviewers and women invited more women (Buckley et al. Reference Buckley, Sciligo, Adair, Case and Monks2014), probably representing bias in an editor's collegial network.

The relationship between the number of women editors and the number of women who submit manuscripts and who are eventually published remains unstudied. We note that the increase in women authors in Paleobiology began at about the time that the journal's first woman editor, Dr. Robyn Burnham, served (2004–2007). Coincidence is not causality; however, we hypothesize that greater participation of women as editors and reviewers may forge connections with the journal and encourage them and their collegial networks to consider the journal when preparing their own manuscripts for publication. Adding new voices—in addition to retraining old ones (Berg Reference Berg2017)—is the most direct path to enhanced representation of all the intersectional identities that paleontologists hold. We note that in 2023, Paleobiology's editorial board is composed of three women and two men. The Journal of Paleontology's editorial board includes one woman and three men. We applaud the Paleontological Society's efforts and encourage them to continue to recruit and retain diverse editorial boards. In the same breath, we remind the Paleontological Society that adding to the service burden of already underrepresented groups by asking them to represent as editors and reviewers works counter to the goals of retaining highly qualified paleontologists of diverse identities. Real solutions require sensitivity, creativity, and continued commitment at all levels of the training and career hierarchy.

Democratized Review Process

A number of studies of editorial behavior in scientific publishing show that editors tend to choose reviewers who share their identities (Buckley et al. Reference Buckley, Sciligo, Adair, Case and Monks2014; Fox et al. Reference Fox, Burns and Meyer2016, Reference Fox, Duffy, Fairbairn and Meyer2019). This is likely because reviewers are drawn, at least in part, from an editor's professional network. While this bias in reviewer selection does not seem to influence the outcome of review (Buckley et al. Reference Buckley, Sciligo, Adair, Case and Monks2014), different voices drive innovation and prompt new ideas (Díaz-García et al. Reference Díaz-García, González-Moreno and Jose Sáez-Martínez2013; Hofstra et al. Reference Hofstra, Kulkarni, Munoz-Najar Galvez, He, Jurafsky and McFarland2020), which can improve feedback to authors and the quality of the published paper. After a review of Earth science journals, Pereira (Reference Pereira2023) recommended a shared list of reviewer candidates from whom an editorial board can draw. Removing the reliance on an editor's colleague network facilitates editors selecting diverse reviewers. Having a stable of willing reviewers may solve the additional problem that women tend to decline invitations to review more often than do men (Fox et al. Reference Fox, Duffy, Fairbairn and Meyer2019), making it difficult for editors to identify diverse reviewers. For society-run journals like Paleobiology and Journal of Paleontology, surveys at the moment of membership renewal could efficiently populate a database of qualified and willing reviewers.

Co-reviewing, the process in which invited reviewers and their students, postdoctoral scholars, and other early-career affiliates all contribute to reviews, further expands the voices contributing to manuscript reviews. Co-reviewing has been well received in pilot and has become a standard practice at some journals (e.g., East et al. Reference East, Attal, Hoitink and Sergienko2022). In much the same way that acknowledging the contributions of students with authorship expanded representation in authors, co-reviewing enhances representation in manuscript review. This practice also demystifies the review process for students and provides early-career scientists with mentored experience providing thorough and constructive reviews.

Data on Submissions and Published Articles

Data used in this analysis were gathered post hoc by combing through back issues of the journal and searching publicly available data for gender markers. The assignment of gender identity based on public-profile pronouns could be justly criticized for not directly recording an individual's authentic experience. Gathering self-reported information on author demographics at the time of submission will allow analysis of authorship trends along a variety of axes of intersectional identity. Gathering data at the time of submission will also permit assessment of who fails to pass through the gates to publication, a question that is currently unanswerable. The goal of peer review should be both rigor and equity. Rigor is assured through expert peer-review that is traditional in academic publishing. Equity cannot be assessed without data collected from authors at the time of initial submission.

The Paleontological Society has already done good work to describe and value diversity in our discipline. The next step is to pull out our wrenches and shore up the scaffolding that moves students enthusiastic about fossils, macroevolution, and Earth's history to the next generation of senior researchers, teachers, and mentors.

Author Positionality Statements

Nan Crystal Arens (she/her) is a White, cisgender, heteroromantic woman and professor in the Department of Geoscience at Hobart & William Smith Colleges (HWS). She was a first-generation college student with a learning disability that significantly slows her parsing and processing written language. HWS is a predominantly White, private undergraduate institution where faculty are encouraged to engage actively in scholarship, although both time and resources for this component of faculty work are extremely limited. HWS faculty in the natural sciences boast a strong tradition of including undergraduate students in their research, as reflected here. Arens's advocacy for greater inclusion of historically marginalized people in STEMM arises both from her experience as a woman in geology and paleontology and as the mother of two cisgender women who are just beginning to confront the inequities of the world.

Levi Holguin (he/they) is a person assigned female at birth, neurodivergent, queer, first-generation college student, and part of an immigrant family. They come from a low-income background and are a devotee of folk Catholicism. Many of his identity markers challenge normative standards in the several communities of which he is a part. This draws them into conversations regarding gender and intersectionality. He was motivated in this work by the desire to make change that will open opportunities for marginalized people.

Natalie Sandoval (she/her) is an undergraduate Latina attending a predominantly White, private institution as a first-generation student. She is cisgender and queer, does not live with a disability, and from a low-income immigrant family. Growing up in an immigrant Latino family, she is no stranger to forced gender roles and machismo, which draws her to gender studies and equity issues. She has done previous research on gender representation in STEMM careers and feelings of belonging on campus. Her previous research also includes family planning and contraceptive use. She is a community advocate through the National Diversity Coalition and seeks opportunities to improve gender equity, accessibility, and human rights through community advocacy and policy change.

Acknowledgments

This project began in N.C.A.'s 2021 first-year seminar “Who Speaks in STEM?” We are grateful to the students and peer mentors in that course who helped shape the question, develop methods, and assemble data: N. Bachman, R. Bluestein, K. Dagit, C. García-Tomás, S. Iacobaccio, O. MacKay, E. McKenna, D. Medina, M. Mulvaney, T. Nickerson, K. Thomas, T. Tower, and A. Ziskin. R. Lipscomb completed data assembly and cleaned, checked, and performed initial analyses on the dataset as part of a senior capstone project in 2022. We thank the Paleontological Society for providing anonymized aggregate membership data. K. Freeman advised on figure creation and provided helpful feedback on data reporting standards. D. Boyer, L. Ivany, D. Kendrick, and B. Woodson provided insightful feedback on initial drafts. The article was substantially improved by thoughtful and constructive comments from two anonymous reviewers.

Competing Interests

The authors declare no conflicts of interest.

Data Availability Statement

Data available from the Zenodo Digital Repository: https://doi.org/10.5281/zenodo.8384489.

References

Literature Cited

Almukhambetova, A., Torrano, D. H., and Nam, A.. 2023. Fixing the leaky pipeline for talented women in STEM. International Journal of Science and Mathematics Education 21:305324.CrossRefGoogle Scholar
Alper, J. 1993. The pipeline is leaking women all the way along. Science 260:409411.10.1126/science.260.5106.409CrossRefGoogle ScholarPubMed
Barjak, F., and Robinson, S.. 2008. International collaboration, mobility and team diversity in the life sciences: impact on research performance. Social Geography 3:2336.10.5194/sg-3-23-2008CrossRefGoogle Scholar
Batchelor, R. L., Ali, H., Gardner-Vandy, K. G., Gold, A. U., MacKinnon, J. A., and M. Asher, P.. 2021. Reimagining STEM workforce development as a braided river. Eos, 102. https://doi.org/10.1029/2021EO157277.CrossRefGoogle Scholar
Berg, J. 2017. Measuring and managing bias. Science 357:849.10.1126/science.aap7679CrossRefGoogle ScholarPubMed
Bernard, R. E., and Cooperdock, E. H. G.. 2018. No progress on diversity in 40 years. Nature Geoscience 11:292295.10.1038/s41561-018-0116-6CrossRefGoogle Scholar
Black, R. 2019. Queer voices in palaeontology. Careers Column. Nature. https://doi.org/10.1038/d41586-019-02113-6.CrossRefGoogle Scholar
Bozeman, B., and Corley, E.. 2004. Scientists’ collaboration strategies: implications for scientific and technical human capital. Research Policy 33:599616.10.1016/j.respol.2004.01.008CrossRefGoogle Scholar
Buckley, H. L., Sciligo, A. R., Adair, K. L., Case, B. S., and Monks, J. M.. 2014. Is there gender bias in reviewer selection and publication success rates for the New Zealand Journal of Ecology? New Zealand Journal of Ecology 38:335339.Google Scholar
Budden, A. E., Tregenza, T., Aarssen, L. W., Koricheva, J., Leimu, R., and Lortie, C. J.. 2008. Double-blind review favours increased representation of female authors. Trends in Ecology and Evolution 23:46.10.1016/j.tree.2007.07.008CrossRefGoogle ScholarPubMed
Caldarulo, M., Olsen, J., Frandell, A., Islam, S., Johnson, T. P., Feeney, M. K., Michalegko, L., and Welch, E. W.. 2022. COVID-19 and gender inequity in science: consistent harm over time. PLoS ONE 17:e0271089.10.1371/journal.pone.0271089CrossRefGoogle ScholarPubMed
Calhoun, L., Jayaram, S., and Madorsky, N.. 2022. Leaky pipelines or broken scaffolding? Supporting women's leadership in STEM. Stanford Social Innovation Review. https://doi.org/10.48558/8Y3B-5F80.Google Scholar
Casad, B. J., Franks, J. E., Garasky, C. E., Kittleman, M. M., Roesler, A. C., Hall, D. Y., and Petzel, Z. W.. 2021. Gender inequality in academia: problems and solutions for women faculty in STEM. Journal of Neuroscience Research 99:1323.CrossRefGoogle ScholarPubMed
Cech, E. A., and Blair-Loy, M.. 2019. The changing career trajectories of new parents in STEM. Proceedings of the National Academy of Sciences USA 116:41824187.CrossRefGoogle ScholarPubMed
Ceci, S. J., Ginther, D. K., Kahn, S., and Williams, W. M.. 2014. Women in academic science: a changing landscape. Psychological Science in the Public Interest 15:75141.10.1177/1529100614541236CrossRefGoogle Scholar
Clancy, K. B. H., Lee, K. M. N., Rodgers, E. M., and Richey, C.. 2017. Double jeopardy in astronomy and planetary science: women of color face greater risks of gendered and racial harassment. Journal of Geophysical Research: Planets 122:16101623.10.1002/2017JE005256CrossRefGoogle Scholar
Dezsö, C. L., and Ross, D. G.. 2012. Does female representation in top management improve firm performance? A panel data investigation. Strategic Management Journal 33:10721089.CrossRefGoogle Scholar
Díaz-García, C., González-Moreno, A., and Jose Sáez-Martínez, F.. 2013. Gender diversity within R&D teams: its impact on radicalness of innovation. Innovation 15:149160.10.5172/impp.2013.15.2.149CrossRefGoogle Scholar
Diversity and Inclusion Committee of the Paleontological Society. 2021. Diversity, equity and inclusion matter in paleontology. Priscum 26:14.Google Scholar
East, A. E., Attal, M., Hoitink, A. J. F., and Sergienko, O. V.. 2022. Thank you to our 2021 reviewers, and a new co-reviewing protocol. Journal of Geophysical Research: Earth Surface 127:e2022JF006687.Google Scholar
Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., Petersen, A. M., et al. 2018. Science of science. Science 359:eaao0185.10.1126/science.aao0185CrossRefGoogle ScholarPubMed
Fox, C. W., Burns, C. S., and Meyer, J. A.. 2016. Editor and reviewer gender influence the peer review process but not peer review outcomes at an ecology journal. Functional Ecology 30:140153.CrossRefGoogle Scholar
Fox, C. W., Duffy, M. A., Fairbairn, D. J., and Meyer, J. A.. 2019. Gender diversity of editorial boards and gender differences in the peer review process at six journals of ecology and evolution. Ecology and Evolution 9:1363613649.10.1002/ece3.5794CrossRefGoogle Scholar
Giles, S., Warnock, R., Dunne, E., Saupe, E., Soul, L., and Lloyd, G.. 2020. Are we reaching gender parity among Palaeontology authors? EGU General Assembly Conference Abstracts, 11767.Google Scholar
Ginther, D. K., Kahn, S., and Schaffer, W. T.. 2016. Gender, race/ethnicity, and National Institutes of Health R01 research awards: is there evidence of a double bind for women of color? Academic Medicine 91:10981107.10.1097/ACM.0000000000001278CrossRefGoogle Scholar
Grossmann, M. 2021. How social science got better: overcoming bias with more evidence, diversity, and self-reflection. Oxford University Press, New York.10.1093/oso/9780197518977.001.0001CrossRefGoogle Scholar
Hengel, E. 2022. Publishing while female: are women held to higher standards? Evidence from peer review. Economic Journal 132:29512991.CrossRefGoogle Scholar
Hofstra, B., Kulkarni, V. V., Munoz-Najar Galvez, S., He, B., Jurafsky, D., and McFarland, D. A.. 2020. The diversity–innovation paradox in science. Proceedings of the National Academy of Sciences USA 117:92849291.CrossRefGoogle ScholarPubMed
Holmes, M. A., O'Connell, S., Frey, C., and Ongley, L.. 2008. Gender imbalance in US geoscience academia. Nature Geoscience 1:7982.CrossRefGoogle Scholar
Hunter, A.-B. 2019. Why undergraduates leave STEM majors: changes over the last two decades. Pp. 87114 in Seymour, E. and Hunter, A.-B., eds. Talking about leaving revisited: persistence, relocation, and loss in undergraduate STEM education. Springer International Publishing, New York.CrossRefGoogle Scholar
Keyes, O. 2018. The misgendering machines: trans/HCI implications of automatic gender recognition. Proceedings of the ACM on Human-Computer Interaction 2:88:1–88:22.CrossRefGoogle Scholar
King, M. M., and Frederickson, M. E.. 2021. The pandemic penalty: the gendered effects of COVID-19 on scientific productivity. Socius 7:23780231211006977.10.1177/23780231211006977CrossRefGoogle Scholar
Krukowski, R. A., Jagsi, R., and Cardel, M. I.. 2021. Academic productivity differences by gender and child age in science, technology, engineering, mathematics, and medicine faculty during the COVID-19 pandemic. Journal of Women's Health 30:341347.10.1089/jwh.2020.8710CrossRefGoogle ScholarPubMed
Lockhart, J. W., King, M. M., and Munsch, C.. 2023. Name-based demographic inference and the unequal distribution of misrecognition. Nature Human Behaviour 7:10841095.CrossRefGoogle ScholarPubMed
Marin-Spiotta, E., Diaz-Vallejo, E. J., Barnes, R. T., Mattheis, A., Schneider, B., Berhe, A. A., Hastings, M. G., Williams, B. M., and Magley, V.. 2023. Exclusionary behaviors reinforce historical biases and contribute to loss of talent in the Earth sciences. Earth's Future 11:e2022EF002912.CrossRefGoogle Scholar
Pereira, D. 2017. Should geoscientists, employers, funding agencies and publishers be slaves to impact factors? Episodes Journal of International Geoscience 40:333341.Google Scholar
Pereira, M. D. 2023. Gender diversity in editorial boards of scientific journals: some Earth science case studies for a geoethical reflection. Episodes: Journal of International Geoscience. https://www.episodes.org/journal/view.html?uid=2320.CrossRefGoogle Scholar
Pereira, D., and Díaz, C.. 2016. Are women properly represented in scientific publication and research? Interim results from a Spanish case study in Earth sciences. Episodes Journal of International Geoscience 39:5258.Google Scholar
Phillips, K. W., Medin, D., Lee, C. D., Bang, M., Bishop, S., and Lee, D. N.. 2014. How diversity works. Scientific American 311:4247.10.1038/scientificamerican1014-42CrossRefGoogle ScholarPubMed
Plotnick, R. E., Stigall, A. L., and Stefanescu, I.. 2014. Evolution of paleontology: long-term gender trends in an earth-science discipline. GSA Today 24:4445.CrossRefGoogle Scholar
Ranganathan, M., Lalk, E., Freese, L. M., Freilich, M. A., Wilcots, J., Duffy, M. L., and Shivamoggi, R.. 2021. Trends in the representation of women among US geoscience faculty from 1999 to 2020: the long road toward gender parity. AGU Advances 2:e2021AV000436.CrossRefGoogle Scholar
Rasmussen, K., Chen, J., Colquhoun, R. L., Frentz, S., Hiatt, L., Kosciesza, A. J., Olsen, C., O'Neill, T. J., Zamloot, V., and Strauss, B. E.. 2023. Gender inclusive methods in studies of STEM practitioners. arXiv. https://doi.org/10.48550/arXiv.2307.15802.Google Scholar
R Core Team. 2023. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.Google Scholar
Roper, R. L. 2022. The h-index in medicine and science: does it favor h-im or h-er? Successes and hurdles for women faculty. Digestive Diseases and Sciences 67:388389.CrossRefGoogle ScholarPubMed
Ryan, M., Tuke, J., Hutchinson, M. R., and Spencer, S. J.. 2023. Gender-specific effects of COVID-19 lockdowns on scientific publishing productivity: impact and resilience. Social Science & Medicine 320:115761.CrossRefGoogle ScholarPubMed
Snyder, T. D., and Dillow, S. A.. 2012. Digest of education statistics, 2011. NCES 2012-001. National Center for Education Statistics, Washington, D.C.Google Scholar
Squazzoni, F., Bravo, G., Grimaldo, F., García-Costa, D., Farjam, M., and Mehmani, B.. 2021. Gender gap in journal submissions and peer review during the first wave of the COVID-19 pandemic: a study on 2329 Elsevier journals. PLoS ONE 16:e0257919.CrossRefGoogle Scholar
Standring, A., and Lidskog, R.. 2021. (How) does diversity still matter for the IPCC? Instrumental, substantive and co-productive logics of diversity in global environmental assessments. Climate 9:99.CrossRefGoogle Scholar
Stigall, A. L. 2013. The Paleontological Society 2013: a snapshot in time. Priscum 20:14.Google Scholar
Swartz, T. H., Palermo, A.-G. S., Masur, S. K., and Aberg, J. A.. 2019. The science and value of diversity: closing the gaps in our understanding of inclusion and diversity. Journal of Infectious Diseases 220:S33S41.10.1093/infdis/jiz174CrossRefGoogle ScholarPubMed
Tomkins, A., Zhang, M., and Heavlin, W. D.. 2017. Reviewer bias in single- versus double-blind peer review. Proceedings of the National Academy of Sciences USA 114:1270812713.CrossRefGoogle ScholarPubMed
Wennerås, C., and Wold, A.. 1997. Sexism and nepotism in peer-review. Nature 387:341343.CrossRefGoogle ScholarPubMed
Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L. D., Francois, R., Grolemund, G., et al. 2019. Welcome to the tidyverse. Journal of Open Source Software 4:1686.CrossRefGoogle Scholar
Witteman, H. O., Hendricks, M., Straus, S., and Tannenbaum, C.. 2019. Are gender gaps due to evaluations of the applicant or the science? A natural experiment at a national funding agency. The Lancet 393:531540.10.1016/S0140-6736(18)32611-4CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Gender (men and women only) of authors in each volume of Paleobiology 1975–2021. (A) Tallies of authors by binary gender overlaid on Paleontological Society membership for 2018–2021, the only years for which complete demographic data were available. Paleontological Society membership included a variety of gender descriptors (see Supplementary Table 1). We grouped transgender members with their authentic gender (e.g., transwomen with women), and all nonbinary markers into the category gender diverse. PNTA denotes those members who preferred not to disclose their gender. (B) Author gender normalized as a proportion. (C) Standardized residuals of a linear model describing the relationship between the number of authors, grouped by gender (M = men, W = women), in each volume across time. Negative residuals represent values below that expected for equal gender representation; positive residuals mean overrepresentation. Least-squares lines of best fit added to each gender group.

Figure 1

Figure 2. (A) Tally of first authors by gender for papers with more than one author. Lines of best fit represent least-squares linear models for each gender. (B) Standardized residuals of a linear model describing the relationship between the first authors in each volume across time. Negative residuals represent values below that expected for equal gender representation; positive residuals mean overrepresentation. Least-squares lines of best fit added to each gender. (C) Tally of single authors on paper in Paleobiology (1975–2021). Lines of best fit represent least-squares linear models for each gender. (D) Standardized residuals of a linear model describing the pattern of first authors in each volume across time. Least-squares line of best fit added to each gender. Negative residuals constitute underrepresentation; positive residuals mean overrepresentation. For all graphs, M = men; W = women.